Enum linfa_linear::LinearError
source · #[non_exhaustive]pub enum LinearError<F: Float> {
Argmin(Error),
BaseCrate(Error),
NotEnoughSamples,
NotEnoughTargets,
InvalidPenalty(F),
InvalidTweediePower(F),
InvalidTargetRange(F),
LinalgError(LinalgError),
}
Expand description
An error when modeling a Linear algorithm
Variants (Non-exhaustive)§
This enum is marked as non-exhaustive
Argmin(Error)
Errors encountered when using argmin’s solver
BaseCrate(Error)
NotEnoughSamples
NotEnoughTargets
InvalidPenalty(F)
InvalidTweediePower(F)
InvalidTargetRange(F)
LinalgError(LinalgError)
Trait Implementations§
source§impl<F> Display for LinearError<F>
impl<F> Display for LinearError<F>
source§impl<F: Float> Error for LinearError<F>
impl<F: Float> Error for LinearError<F>
source§fn source(&self) -> Option<&(dyn Error + 'static)>
fn source(&self) -> Option<&(dyn Error + 'static)>
1.0.0 · source§fn description(&self) -> &str
fn description(&self) -> &str
source§impl<F: Float, D: Data<Elem = F>, T: AsSingleTargets<Elem = F>> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, LinearError<F>> for IsotonicRegression
impl<F: Float, D: Data<Elem = F>, T: AsSingleTargets<Elem = F>> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, LinearError<F>> for IsotonicRegression
source§fn fit(
&self,
dataset: &DatasetBase<ArrayBase<D, Ix2>, T>
) -> Result<Self::Object, F>
fn fit( &self, dataset: &DatasetBase<ArrayBase<D, Ix2>, T> ) -> Result<Self::Object, F>
Fit an isotonic regression model given a feature matrix X
and a target
variable y
.
The feature matrix X
must have shape (n_samples, 1)
The target variable y
must have shape (n_samples)
Returns a FittedIsotonicRegression
object which contains the fitted
parameters and can be used to predict
values of the target variable
for new feature values.
type Object = FittedIsotonicRegression<F>
source§impl<F: Float, D: Data<Elem = F>, T: AsSingleTargets<Elem = F>> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, LinearError<F>> for LinearRegression
impl<F: Float, D: Data<Elem = F>, T: AsSingleTargets<Elem = F>> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, LinearError<F>> for LinearRegression
source§fn fit(
&self,
dataset: &DatasetBase<ArrayBase<D, Ix2>, T>
) -> Result<Self::Object, F>
fn fit( &self, dataset: &DatasetBase<ArrayBase<D, Ix2>, T> ) -> Result<Self::Object, F>
Fit a linear regression model given a feature matrix X
and a target
variable y
.
The feature matrix X
must have shape (n_samples, n_features)
The target variable y
must have shape (n_samples)
Returns a FittedLinearRegression
object which contains the fitted
parameters and can be used to predict
values of the target variable
for new feature values.